Trading robot · MT4

TW Star Bot

by TradingWizards

This MetaTrader 4 expert advisor implements an automated trading strategy based on a combination of technical indicators, including the Relative Strength Index, Moving Averages, and MACD.

GitHub stars2
Forks0
Last update9 years ago8 Aug 2017
LicenceNone stated

Overview

The bot evaluates price action against these indicators to determine trade entries. It manages active positions using a fixed lot size and a built-in trailing stop feature designed to protect gains. Users can configure parameters for moving average periods, slippage, and magic numbers. Documentation is extremely limited as the README contains only the project title, requiring users to review the source code for logic.

Details

Author

TradingWizards on GitHub

Type

Trading robot

Platform

MetaTrader 4 (MQL4)

Strategy

Trend following, Indicator crossover

Markets

Any symbol

Timeframes

Any timeframe

Risk profile

No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.

EA files

Input parameters

Read from twstar_v2.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
MA_Periodint20
Lotsdouble1.0
MagicNumberint12348
Slippageint3
ShowBarsint500

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone TradingWizards/BotV1 from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
  3. 3Copy the filesCopy the .mq4 file into Experts.
  4. 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
  5. 5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.

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